Common bivalve larvae from New Zealand: Leptonacea

The late stage larvae of three erycinid bivalves (Mollusca: Pelecypoda: Leptonacea) taken from the brood chamber of the adult are described (Kellia cycladiformis, Lasaea rubra hinemoa, and L. maoria), and the provisionally identified late stage larva of the erycinid Arthritica bijurca taken from the plankton is described. Also, the D‐shaped larvae of the erycinid bivalves Kellia cycladiformis, Borniola reniformis, Arlhritica crassijormis, and A. bifurca taken from the parent brood chamber are described. The seasonal occurrence of each late stage larva in the plankton at the Bay of Islands (35° 15'S, 174° 10'E), Wellington Harbour (41° 16'S, 174° 51'E), and Raumati Beach (40° 56'S, 174° 58'E), New Zealand is described. Aspects of the reproductive cycles of Lasaea rubra hinemoa and Arthritica bifurca are presented.     

Persistent organic pollutants and stable isotopes in biopsy samples (2004/2006) from Southern Resident killer whales

“Southern Resident” killer whales include three “pods” (J, K and L) that reside primarily in Puget Sound/Georgia Basin during the spring, summer and fall. This population was listed as “endangered” in the US and Canada following a 20% decline between 1996 and 2001. The current study, using blubber/epidermis biopsy samples, contributes contemporary information about potential factors (i.e., levels of pollutants or changes in diet) that could adversely affect Southern Residents. Carbon and nitrogen stable isotopes indicated J- and L-pod consumed prey from similar trophic levels in 2004/2006 and also showed no evidence for a large shift in the trophic level of prey consumed by L-pod between 1996 and 2004/2006. ∑PCBs decreased for Southern Residents biopsied in 2004/2006 compared to 1993–1995. Surprisingly, however, a three-year-old male whale (J39) had the highest concentrations of ∑PBDEs, ∑HCHs and HCB. POP ratio differences between J- and L-pod suggested that they occupy different ranges in winter.     

Capturing temporal variability for estimates of annual hydrochemical export from a first‐order agricultural catchment in southern Ontario,Canada

This 2‐year study (2000, 2001) reports annual nutrient (phosphorus, nitrate) export from a first‐order agricultural watershed in southern Ontario based on an intensive monitoring programme. The importance of storm and melt events in annual export estimates is demonstrated and the temporal variability in nutrient loading during events is related to processes occurring within the catchment. The feasibility of predicting event‐related nutrient export from hydrometric data is explored. The importance of sampling frequency throughout events is also shown. Export of total phosphorus (TP), soluble reactive phosphorus (SRP) and nitrate ( ) for 2000 and 2001 averaged 0·35 kg ha^?1 year^?1, 0·09 kg ha^?1 year^?1, and 35 kg ha^?1 year^?1 (as N) respectively. Approximately 75% of annual TP export, 80% of annual SRP export and 70% of annual export occurred during 28 events per year. A small number of large‐magnitude events (>34 mm) accounted for 18–42% of annual TP export, 0–61% of annual SRP export and 13–33% of annual NO export. Our results show that temporal variability in nutrient export is largely governed by discharge in this basin, and export can be predicted from discharge. SRP and TP export can also be predicted from discharge, but only for events that are not large in magnitude. The sampling interval throughout events is important in obtaining precise estimates of nutrient export, as infrequent sampling intervals may over‐ or under‐estimate nutrient export by ± 45% per event for P. This study improves our understanding of and P export patterns and our ability to predict or model them by relating temporal variability in event nutrient export to discharge and processes occurring within the basin, and also by exploring the significance of sampling interval in the context of the importance of individual events, season and temporal variability during events. Copyright © 2006 John Wiley & Sons, Ltd.     

样品前处理过程中多环芳烃的稳定碳同位素分馏

利用多环芳烃标准样品连续和穿插进样相结合的方式,检验了气相色谱-燃烧-同位素比质谱仪(GC-C-IRMS)测定多环芳烃单体碳同位素比值(δ13C)的稳定性和准确性,观察了测定过程中色谱柱的分离效果。结果表明,出峰面积和分离程度是影响化合物δ13C平行性的主要原因。通过多次实验,分析了样品前处理过程中多环芳烃各个化合物稳定碳同位素的分馏情况,包括凝胶渗透色谱(GPC)和硅胶柱等净化过程,以及旋转蒸发和氮气吹扫等浓缩过程。实验表明,各前处理过程中样品内多环芳烃的稳定碳同位素分馏均不明显,其中硅胶柱净化过程相比GPC过程对样品中多环芳烃的δ13C影响较大,但总体上仍未超过未处理标样δ13C值的2倍标准偏差范围。旋转蒸发和氮吹过程对样品中多环芳烃的δ13C影响程度相当,都位于未处理标样δ13C值1倍标准偏差以内的水平。     

土壤中单环芳烃定量分析的基质效应研究

来源于燃料油泄露的单环芳烃对土壤的污染已经成为一个很普遍的现象,因此,准确、高效地检测土壤中的挥发性单环芳烃是一个很关键的问题。文章通过在标准系列中加入石英砂和土壤两种基质,比较水、水-石英砂、水-土壤3个定量库中得到的标准曲线的斜率,研究基质效应对土壤样品定量的影响。结果表明,芳香烃类物质在土壤基质中的斜率总体小于在石英砂基质中的斜率,在石英砂基质中的斜率比在水基质中的斜率小1%(苯)～9%(正丁苯),在水基质中得到的斜率最大;只有苯在土壤基质和水基质中的斜率相当,其余组分在土壤基质中的斜率比在水基质中的斜率小9%(丙苯)～24%(1,2,4-三氯苯)。单环芳烃在土壤基质中相对斜率的大小与化合物本身的沸点以及辛醇-水分配系数呈负相关。研究表明,在对土壤样品进行校准的过程中,选择合适的基质建立定量库是一个非常关键的因素。     

DR-150型全液压履带取样钻机的研究

为解决区域地质、环境地质及农业地质填图工作,特别是在钻探验证工程中孔位浅,分布散等问题,设计一款新型的适合于工地常搬迁、快速迁移的集成化、模块化轻便取样钻机,其需具有能更好的解决工程施工中存在的问题、提高钻探施工质量和效率、实现钻探设备的整体搬迁和多种钻探工艺组合配套施工工艺等优点。     

Intermediate school's trip to India: Preparing for competence

In November 2010, students from a Palmerston North intermediate school embarked on a 2‐week excursion to India. Qualitative research was carried out before, during and after the trip. Results discussed in this article focus primarily on the students' account of their trip, especially their perceived cultural competence and their explanation for it. Accounts of their competence are also offered by the parents and teachers, for example, they especially valued the students' extensive school‐based preparation. Insights gained from the experiences of this trip may be applied to other, including older, cohorts of students embarking on overseas school field trips.     

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Assessing integration of intensity,polarimetric scattering,interferometric coherence and spatial texture metrics in PALSAR-derived land cover classification

Synthetic aperture radar (SAR) is an important alternative to optical remote sensing due to its ability to acquire data regardless of weather conditions and day/night cycle. The Phased Array type L-band SAR (PALSAR) onboard the Advanced Land Observing Satellite (ALOS) provided new opportunities for vegetation and land cover mapping. Most previous studies employing PALSAR investigated the use of one or two feature types (e.g. intensity, coherence); however, little effort has been devoted to assessing the simultaneous integration of multiple types of features. In this study, we bridged this gap by evaluating the potential of using numerous metrics expressing four feature types: intensity, polarimetric scattering, interferometric coherence and spatial texture. Our case study was conducted in Central New York State, USA using multitemporal PALSAR imagery from 2010. The land cover classification implemented an ensemble learning algorithm, namely random forest. Accuracies of each classified map produced from different combinations of features were assessed on a pixel-by-pixel basis using validation data obtained from a stratified random sample. Among the different combinations of feature types evaluated, intensity was the most indispensable because intensity was included in all of the highest accuracy scenarios. However, relative to using only intensity metrics, combining all four feature types increased overall accuracy by 7%. Producer’s and user’s accuracies of the four vegetation classes improved considerably for the best performing combination of features when compared to classifications using only a single feature type.     

磨抛光合成新材料在岩矿制片中的应用

作者利用所研制出来的磨抛光合成新材料与传统磨抛光工艺进行了对比试验。通过对多种最常使用的矿物或岩石的反复试验,结果表明合成新材料不仅大大提高了工作效率,还具有抛光速度快(所需时间仅为传统工艺的1/3~1/2),而且抛光效果极佳(基本无糙面或麻点),经久耐用,耗材极低和基本无巴盘打片现象。